Results 41 to 50 of about 3,763 (235)
How do probabilistic graphical models and graph neural networks look at network data?
Graphs are a powerful data structure for representing relational data and are widely used to describe complex real-world systems. Probabilistic graphical models (PGMs) and graph neural networks (GNNs) can both leverage graph-structured data, but their ...
Michela Lapenna, Caterina De Bacco
doaj +1 more source
Wideband Phase-Gradient Metasurface Antenna With Focused Beams
A transmitting lens antenna with focused beams by employing four-layer phase-gradient metasurface (PGMS) is proposed. A wideband slot-coupled antenna is mounted close to the focal position of the PGMS acting as a feed.
Jia-Jun Liang +4 more
doaj +1 more source
A green adaptation of the critical resource of platinum group metals (PGMs) from spent autocatalysts to electrocatalysts for renewable power conversion [PDF]
Platinum group metals (PGMs) are state-of-the-art electrocatalyst elements for polymer electrolyte membrane (PEM) fuel cells and electrolysers due to their superb catalytic nature and high robustness.
Larsen, Lars Christian +5 more
core +1 more source
Ultrathin 2D alloy nanosheet catalysts could offer exceptional catalytic activity but suffer from severe structural instability. Here, a surface‐selective Pt enrichment strategy via galvanic replacement effectively stabilizes PtCu Nanosheets while preserving their ∼ 1 nm thickness and (111) facets.
HyunWoo J. Yang +7 more
wiley +1 more source
Grouping of PGMs and PSPs by using cluster analysis.
ClustalW2 2.1 (http://www.ebi.ac.uk/Tools/) was employed as a tool for protein alignment analysis, codon table for bacteria was selected. PGMs 1–4 (Synechococcus) and two PSPs (Hydrogenobacter thermophilus) are highlighted.
Doreen Schwarz (232474) +3 more
core +1 more source
Direct seawater electrolysis using anion exchange membranes is emerging as a promising route for sustainable hydrogen production. This review summarizes multiscale design strategies from seawater chemistry and OER–ClER selectivity to catalysts, membranes, MEAs, cells, stacks, and system integration, providing a roadmap toward selective, durable, and ...
Chiho Kim +7 more
wiley +1 more source
Hypertree Decompositions Revisited for PGMs
Accepted for StarAI Proceedings.
Aarthy Shivram Arun +3 more
openaire +5 more sources
As the transition toward carbon neutrality accelerates, platinum group metals (PGMs) have emerged as indispensable resources for the low‐carbon transformation.
Wang Gu +5 more
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Cu-Ni Captures Platinum Group Metals from Spent Automotive Exhaust Catalysts
Platinum group metals (PGMs) are strategic metals, and recycling PGMs in spent automobile exhaust catalysts (SACs) is a key path to alleviate the contradiction between resource supply and demand.
Jiahao Li +10 more
doaj +1 more source

